Design methodology for service-based data product sharing and trading

Jian Yang*, Yongping Tang, Amin Beheshti

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Citations (Scopus)


The data economy is inevitably rising while data is becoming the ‘new fuel’ driving the world economy as discussed in many studies from a number of viewpoints including economics, technology development, digitisation, and data analytic technologies. Although the significance of data trading is recognised as a critical part of data economy, how data should be described, protected, packaged and priced as data product for trading has not been fully explored. In this chapter we present a service-based approach for data resources to data product transformation and mechanism for data product trading.

Original languageEnglish
Title of host publicationNext-gen digital services
Subtitle of host publicationa retrospective and roadmap for service computing of the future: essays dedicated to Michael Papazoglou on the occasion of His 65th birthday and his retirement
EditorsMarco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Place of PublicationCham, Switzerland
PublisherSpringer, Springer Nature
Number of pages15
ISBN (Electronic)9783030732035
ISBN (Print)9783030732028
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume12521 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Data as Service
  • Data economy
  • Data product
  • Data trading
  • Design methodology


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